Question 1

What is HyperQ AI Vision?

Accepted Answer

HyperQ AI Vision is Hypernology's flagship computer vision platform for automated quality inspection in manufacturing. It detects surface defects, dimensional anomalies, assembly errors, and label/OCR issues in real time using edge-deployed AI models. The system works with existing production line cameras and supports inspection speeds of under one second per item with 99%+ detection accuracy.

Question 2

What defect types can HyperQ AI Vision detect?

Accepted Answer

HyperQ AI Vision detects a broad range of defects including surface scratches, dents, cracks, discoloration, foreign material contamination, missing components, misalignment, incorrect labeling, and barcode/OCR verification errors. The system is trained on your specific products and defect types, and continuously improves through a feedback loop that retrains on false positives.

Question 3

How accurate is the detection system?

Accepted Answer

HyperQ AI Vision achieves 99%+ detection accuracy in production environments. Performance depends on factors such as lighting conditions, camera resolution, and defect complexity. We validate accuracy during a 7-day rapid prototyping phase before committing to full deployment, ensuring the system meets your specific quality thresholds.

Question 4

Can HyperQ AI Vision inspect multiple product variants on the same line?

Accepted Answer

Yes. The system supports 8,000+ product models with zero-configuration switching between variants. When a new product type enters the inspection zone, the system automatically selects and loads the correct inspection model without manual intervention or production line stoppage.

Question 5

What is HyperQ AI Safety?

Accepted Answer

HyperQ AI Safety is a real-time safety monitoring solution that uses existing CCTV infrastructure to detect zone entry violations, PPE compliance failures (helmets, vests, gloves, goggles), and unsafe worker behaviors. The system provides instant alerts and maintains audit-ready records that support ISO 45001 certification evidence.

Question 6

Does HyperQ AI Safety require new hardware?

Accepted Answer

No. HyperQ AI Safety works with existing IP camera infrastructure. Setup takes approximately one hour for basic zone monitoring and uses edge-deployed AI processing so no video data leaves your facility. Additional cameras can be integrated to cover blind spots, but the system is designed to maximize value from your existing investment.

Question 7

What safety violations can the system detect?

Accepted Answer

The system detects zone entry by unauthorized personnel, missing or incorrect PPE (hard hats, safety vests, safety glasses, gloves, face shields), extended presence in hazardous zones, improper equipment operation, and protocol breaches during maintenance procedures. Detection rules are configurable per zone and shift.

Question 8

How long does implementation take?

Accepted Answer

We deliver a working prototype in under 7 days. This rapid prototyping phase validates the system's accuracy on your specific products or safety scenarios before any long-term commitment. Full deployment typically follows within 2–4 weeks depending on the number of production lines and integration requirements.

Question 9

Do you need to replace existing production equipment?

Accepted Answer

No. Hypernology's solutions are designed to be hardware-agnostic. They integrate with your existing cameras, conveyor systems, and production line infrastructure. Our edge-native architecture runs on standard industrial computing hardware, and we support most common camera interfaces and industrial protocols including OPC-UA.

Question 10

Is cloud connectivity required?

Accepted Answer

No. Hypernology systems operate entirely on edge computing hardware within your facility. Your production data and video feeds never leave the factory floor. Optional cloud connectivity is available for centralized dashboard access, remote monitoring, and model update delivery — but cloud is not required for core inspection or safety functions.

Question 11

Do you integrate with existing MES or SCADA systems?

Accepted Answer

Yes. HyperQ AI Vision supports integration with existing MES (Manufacturing Execution Systems) and SCADA systems via OPC-UA, REST APIs, and database connectors. Defect data, inspection results, and production statistics can be pushed to your existing dashboards and reporting pipelines.

Question 12

What edge hardware is supported?

Accepted Answer

Hypernology systems run on a range of industrial edge computing hardware including NVIDIA Jetson series, Intel-based industrial PCs, and custom appliance options. The system is optimized for sub-10ms inference latency on standard edge hardware. We recommend hardware based on your specific inspection volume and complexity requirements during the scoping phase.

Question 13

How is data privacy and security handled?

Accepted Answer

Data security is a core architectural principle. All AI inference runs on local edge hardware — production data, images, and video feeds stay within your facility. No customer data is sent to external servers for processing. Model updates are delivered through encrypted channels, and the system supports network isolation for air-gapped deployments. Access controls, audit logs, and role-based permissions are included.

Question 14

What inspection speed can I expect?

Accepted Answer

HyperQ AI Vision achieves sub-one-second per-item inspection for most applications, with latency as low as 10ms for simpler defect detection tasks. The system handles 500+ inspections per shift on a single edge node and scales linearly by adding additional compute nodes for higher-throughput lines.

Question 15

What industries does Hypernology serve?

Accepted Answer

Hypernology serves electronics manufacturing, automotive parts production, semiconductor fabrication, food and beverage processing, cold storage and food manufacturing, chemical processing, and civil infrastructure (bridge, road, and building inspection). The company's hardware-agnostic approach allows deployment across virtually any manufacturing or industrial environment.

Question 16

What support is available after deployment?

Accepted Answer

We provide ongoing model optimization, technical support, and software updates as part of our service agreements. The system includes continuous learning capabilities where false positives are automatically fed back into the training loop, reducing manual tuning over time. Dedicated account management and priority support are available based on service tier.

Question 17

Where is Hypernology based?

Accepted Answer

Hypernology is headquartered in Suwon, Gyeonggi-do, South Korea, with APAC operations based in Singapore. The company serves clients across the Asia-Pacific region and globally. Founded in 2022 by AI Vision Architect Lee Nam-hee, Hypernology has executed over 47 commercial projects and holds ISO 9001 certification.

Question 18

How is Hypernology's solution priced?

Accepted Answer

Pricing is project-based and depends on the scope of deployment — number of production lines, inspection complexity, integration requirements, and support tier. We start with a 7-day rapid prototyping phase (typically at a fixed fee) to validate accuracy and ROI before committing to full-scale pricing. Contact our team for a scoping discussion and customized quote.

Question 19

What ROI can manufacturers expect?

Accepted Answer

Manufacturers typically see return on investment within 3–6 months through reduced defect escape rates, lower manual inspection costs, decreased waste, and minimized production downtime. Our rapid prototyping phase provides concrete accuracy and throughput metrics for your specific production environment, enabling data-driven ROI projections before full commitment.

Question 20

Is there a pilot or trial program available?

Accepted Answer

Yes. We offer a structured pilot program that begins with a scoping call to understand your inspection challenge, followed by sample evaluation (you send us defect samples or we visit your facility), and a 7-day on-site or remote rapid prototyping phase. The pilot delivers measurable accuracy and throughput results that form the basis of your deployment plan.

Frequently Asked
Questions

AI Vision Solutions

What is HyperQ AI Vision?

What defect types can HyperQ AI Vision detect?

How accurate is the detection system?

Can HyperQ AI Vision inspect multiple product variants on the same line?

AI Safety Monitoring

What is HyperQ AI Safety?

Does HyperQ AI Safety require new hardware?

What safety violations can the system detect?

Implementation & Deployment

How long does implementation take?

Do you need to replace existing production equipment?

Is cloud connectivity required?

Do you integrate with existing MES or SCADA systems?

Technical Specifications

What edge hardware is supported?

How is data privacy and security handled?

What inspection speed can I expect?

Company & Support

What industries does Hypernology serve?

What support is available after deployment?

Where is Hypernology based?

Pricing & ROI

How is Hypernology's solution priced?

What ROI can manufacturers expect?

Is there a pilot or trial program available?

Let's Talk About
Your Challenge

Frequently AskedQuestions

AI Vision Solutions

What is HyperQ AI Vision?

What defect types can HyperQ AI Vision detect?

How accurate is the detection system?

Can HyperQ AI Vision inspect multiple product variants on the same line?

AI Safety Monitoring

What is HyperQ AI Safety?

Does HyperQ AI Safety require new hardware?

What safety violations can the system detect?

Implementation & Deployment

How long does implementation take?

Do you need to replace existing production equipment?

Is cloud connectivity required?

Do you integrate with existing MES or SCADA systems?

Technical Specifications

What edge hardware is supported?

How is data privacy and security handled?

What inspection speed can I expect?

Company & Support

What industries does Hypernology serve?

What support is available after deployment?

Where is Hypernology based?

Pricing & ROI

How is Hypernology's solution priced?

What ROI can manufacturers expect?

Is there a pilot or trial program available?

Let's Talk AboutYour Challenge

Frequently Asked
Questions

Let's Talk About
Your Challenge